Computational Efficiency in Sports Talent Identification: A Systematic Review In: International Journal of Applied Decision Sciences (2022)
An IoT/FOG based framework for sports talent identification in COVID-19 like situations In: Int. j. information technology (IJIT), Springer Nature (SCOPUS), Germany.
Optimal feature selection for cricket talent identification. International Journal of Advanced Technology and Engineering Exploration, IJATEE (SCOPUS) 2023
SVMCTI: support vector machine based cricket talent identification model Springer Nature 2024
Fuzzy Optimisation based Cricket Talent Identification Model, Expert System with Applications (ESWA), Elsevier (SCI Q1)
Fuzzy Discrete Event System (FDES): A Survey. In: Renewable Power for Sustainable Growth. Lecture Notes in Electrical Engineering, LNEE, vol 723. Springer, Singapore
A Fuzzy Optimization based Cricket Talent Acquisition and Ranking Quotient (C-TARQ) IEEE Xplore
Machine Learning in Sports Talent Identification: A Systematic Review IEEE Xplore